LSE - Delayed Quote GBp

CT UK Z Acc GBP (0P0000X3IR.L)

207.60 +0.28 (+0.14%)
At close: April 26 at 9:00 PM GMT+1

Fund Summary

CT UK Z Acc GBP

London EC4N 6AG
44-20-7464-5000

Fund Overview

Category --
Fund Family Threadneedle Investment Services Ltd
Net Assets 818.71M
YTD Return 3.37%
Yield 2.39%
Morningstar Rating
Inception Date Mar 16, 2016

Fund Operations

Last Dividend --
Last Cap Gain --
Holdings Turnover 163.00%
Average for Category --

Fees & Expenses

Expense 0P0000X3IR.L Category Average
Annual Report Expense Ratio (net) 0.00% --
Prospectus Net Expense Ratio 0.00% --
Prospectus Gross Expense Ratio 0.00% --
Max 12b1 Fee -- --
Max Front End Sales Load -- --
Max Deferred Sales Load -- --
3 Yr Expense Projection 0 --
5 Yr Expense Projection 0 --
10 Yr Expense Projection 0 --

Management Information

Gordon Happell is a Portfolio Manager in the UK Equities team. He joined Columbia Threadneedle through the acquisition of BMO GAM (EMEA) in 2021, having previously been with BMO since 2014. Before joining the group, Gordon worked at Henderson Global Investors, specialising in Global Technology, and Aegon Asset Management where he was a Smaller Companies Investment Manager in the UK Equity team. Gordon has a first-class honours degree in Accounting from Strathclyde University and is a CFA charterholder.

Morningstar Style Box

Yahoo partners with Morningstar a leading market research and investment data group to help investors rate and compare funds on Yahoo Finance. The Morningstar Category is shown next to the Morningstar Style Box which identifies a fund's investment focus, based on the underlying securities in the fund. MORNING_STAR_STYLE_BOX

Morningstar Category

While the investment objective stated in a fund's prospectus may or may not reflect how the fund actually invests, the Morningstar category is assigned based on the underlying securities in each portfolio. Morningstar categories help investors and investment professionals make meaningful comparisons between funds. The categories make it easier to build well-diversified portfolios, assess potential risk, and identify top-performing funds. We place funds in a given category based on their portfolio statistics and compositions over the past three years. If the fund is new and has no portfolio history, we estimate where it will fall before giving it a more permanent category assignment. When necessary, we may change a category assignment based on recent changes to the portfolio.

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